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| Section | Weight | Objectives |
|---|---|---|
| Theoretical Knowledge and Applications of Image Processing | 26% | - Computer vision overview - Image preprocessing and feature extraction - Convolutional neural networks - Image recognition, detection and segmentation |
| Natural Language Processing Lab Guide | 10% | - NLP project practice on ModelArts |
| Overview of ModelArts | 4% | - ModelArts platform architecture - Development and deployment workflow |
| Speech Processing Lab Guide | 12% | - Speech application development on ModelArts |
| ModelArts Platform Development Experiment | 10% | |
| Theoretical Knowledge and Applications of Natural Language Processing | 10% | - Text processing and representation - Common NLP tasks and applications - NLP core concepts |
| Theoretical Knowledge and Applications of Speech Processing | 10% | - Speech recognition and synthesis - Speech processing basics - Acoustic and language models |
| Neural Network Basics | 4% | - Artificial neural network principles - Network training and optimization - Deep learning fundamentals |
| Image Processing Lab Guide | 12% | - ModelArts-based image development |
| Overview of Huawei AI Development Strategy and Full-Stack, All-Scenario AI Portfolio | 2% |
After the ModelArts automatic learning object detection model is deployed, users can add pictures for testing. Which of the following options are output prediction results? (Multiple choice)
Correct Answer: A,B,C 🗳️
The facial features detection API detects facial features of the input image and returns the coordinates of key points representing the location of the facial features. How many landmark points are currently supported?
Correct Answer: B 🗳️
Which one affects the number of weights in 2D convolution? (Multiple choice)
Correct Answer: A,B,D 🗳️
In image preprocessing, the function of () is to remove noise, etc.
Reveal Solution Discussion 0Correct Answer:
Noise reduction
Which of the following belongs to the optimizer in gradient descent? (Multiple choice)
Correct Answer: A,B,D 🗳️
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